Speculative Decoding and Beyond: An In-Depth Review of Techniques

PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding

Bradley McDanel, Sai Qian Zhang, Yunhai Hu, Zining Liu
ACL Findings, 2025.
preprint
code

Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation

Bradley McDanel
UMBC CODEBOT ‘25 Workshop
paper
slides

AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration

Bradley McDanel
IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
preprint
paper
code

Designing LLM-Resistant Programming Assignments: Insights and Strategies for CS Educators.

Bradley McDanel, Ed Novak
Special Interest Group Computer Science Educators (SIGCSE), 2025.
paper
code

Revelata at the FinLLM Challenge Task: Improving Financial Text Summarization by Restricted Prompt Engineering and Fine-tuning.

Ken Kawamura, Zeqian Li, Chit-Kwan Lin, Bradley McDanel
Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen) at IJCAI, 2024
paper

ChatGPT as a Java Decompiler

B. McDanel and Zhanhao Liu
3rd Generation, Evaluation & Metrics (GEM) Workshop at EMNLP’23
paper
code

StitchNet: Composing Neural Networks from Pre-Trained Fragments

Surat Teerapittayanon, Marcus Comiter, Bradley McDanel, H. T. Kung.
IEEE International Conference on Machine Learning (ICMLA), 2023.
preprint

Accelerating Vision Transformer Training via a Patch Sampling Schedule

Bradley McDanel, Chi Phuong Huynh
IEEE International Conference on Machine Learning (ICMLA), 2023.
preprint
code

Accelerating DNN Training with Structured Data Gradient Pruning

B. McDanel, H. Dinh, J. Magallanes
International Conference on Pattern Recognition (ICPR), 2022.
preprint